Unique ID: 2015014

Division: Coordination administrative & big data
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Using scanner data for consumer prices

Using scanner data for consumer prices.

Statistical Area

Price

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Scanner data
Region: Europe & Central Asia
Country Area: Belgium
Id Country Regional: country
Partnerships
Partnerships
Other Partners: Other
Partnership Comments: Food retail companies (supermarket chains).
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Data Access Comments: Only objective, at the moment, is calculation of consumer price indices.
Data Coverage
Data Coverage
Data Coverage: All available data
Coverage Geo Pop: Whole country / high % of market
Cost Implication: Free
Coverage Period: Since January 2015, start of statistical production stage.
Project Details
Project Details
Frequency Comments: Data come in on a weekly basis with each incoming dataset, for each of the three providers, of a size of approximately 1.5 GB (about 20 GB per month and 240 GB annually).
Data Quality
Data Quality
Quality Framework: Quality of output statistics
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Accuracy, including selectivity
Validation Comments: Data are prices for specific items, identical to previous data available (just a lot more), no conceptual or interpretation issues.
Quality Framework Comments: Quality of source/input: prices from the datasets have been validated against manually collected prices, old method; turnover data have been verified for consistency over time. Quality of output statistics: simulations on scanner data have been compared with manual price collection; differences between the two have been examined in detail.
Methodology
Methodology
Methods Used: Traditional statistical methods
Methods Comments: Regular CPI calculations using new source.
Technologies
Technologies
Technologies: Relational database
Other
Other
Income Level: High-income
Iso: BE
Timeframe To Produce Indicator: NA
Frequency Comments: Data come in on a weekly basis with each incoming dataset, for each of the three providers, of a size of approximately 1.5 GB (about 20 GB per month and 240 GB annually).
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